Theoretical Ecology's repositories
machinelearning
Teaching Material for a Machine Learning course with Keras and Tensorflow in R
Pichler-et-al-2019
This repository provides code and the TraitMatching package for Pichler et al. "Machine learning algorithms to infer trait-matching and predict species interactions in ecological networks"
AdvancedRegressionModels
A advanced course on regression models
DataScienceInR
Material for a first course in statistics and data science in R
AdvancedBiostatistics
An advanced regression course
awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
man_vs_machine
data and analyses for Man vs machine manuscript
MolEcoEvol
Material for the Internship Molekulare Ökologie und Evolutionsbiologie
PhD_planning_template
Outline for planning PhD projects
bayesian-stats-with-R
Material for a workshop on Bayesian stats with R
FunctionalMotifs
The non-random assembly of indirect interactions in plant-pollinator networks
Mair-et-al-2020
Supplementary Data for the Article "The MDD concept for establishing trust in non-significant results - a critical review"
Measuring-diversity-with-candy
Some materials for measuring diversity with candy
OutlierConf2021
⭕ Slides and hands-on codes for my talk "ggplot Wizardry: My Favorite Tricks and Secrets for Beautiful Plots in R" at the 1st OutlierConf, February 4–7 2021.
phylo-inference-ml
Inferring speciation rates and extinction rates from extant phylogenetic trees using Machine Learning
pytorch-Deep-Learning
Deep Learning (with PyTorch)
rmdTemplates
R package containing a collection of Rmarkdown templates
Rpreles
Simple semi-empirical model of CO2 and H20 fluxes over boreal forests
targets-minimal
A minimal example data analysis project with the targets R package
TestProject
Test Project for teaching Git Workflow
threePGN-package
3PGN model in fortran called from R